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UnambiguousWind Direction Field Extraction Using a Compact Shipborne High-Frequency Radar

delete2020-10-01
delete7
PRE
AI
J
Jiurui Zhao
Y
Yingwei Tian *
B
Biyang Wen
Z
Zhen Tian
DOI:10.1109/TGRS.2020.2982938delete
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Abstract

Abstract

En 中文
Attributed to the maneuverability, the shipborne high-frequency surface wave radar (HFSWR) enables a larger coverage in ocean wind measurement than a shored-based system does. However, the antenna aperture of shipborne radar is usually limited by the ship size, which troubles the direction of arrival (DOA) estimation accuracy. In addition, the wind direction ambiguity caused by monostatic radar illumination remains challenging. In this article, an unambiguous wind direction estimation method based on a compact shipborne HFSWR is proposed. An equivalent dual-station model combining the successive radar data collected at two close locations is developed to solve the DOA ambiguity in wind direction estimation. A direction-finding algorithm incorporating the Doppler shifts due to ship motion and current shear is adopted to estimate wind direction from the ratio of the positive and negative Bragg peak powers. Moreover, three different wave directional spreading models are applied for performance comparison. Numerical simulation is conducted to evaluate the effect of dual-station configuration on the estimation accuracy. Finally, field experimental results are given to verify the correctness of the method. Radar-derived wind direction field agrees well with that provided by a numerical weather model.
Keywords:
Radar
Marine vehicles
Radar antennas
Estimation
Sea measurements
Direction-of-arrival estimation
Doppler effect
Direction ambiguity
shipborne HF radar
wave directional spreading
wide-beam antenna
wind direction field estimation
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Journal

IEEE Transactions on Geoscience and Remote Sensing cover
IEEE Transactions on Geoscience and Remote Sensing
IF:
8.6
Papers:
2.1W
Citations:
10.7W

Organization

W
wuhan university
Scholars:
8.0W
Papers: 5.8W
Citations: 70